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Amund Vedal

Machine Learning Research Scientist at Norsk Regnesentral

Amund Vedal is a versatile professional with a diverse educational background and extensive experience in the fields of interaction design, music composition, machine learning, and media technology.

He holds a Master of Science (MS) in Machine Learning from KTH Royal Institute of Technology and has furthered his academic pursuits with studies in Music Composition, Interaction Design, and Media Technology at various prestigious institutions such as Stockholm University and Politecnico di Torino.

Amund has applied his expertise in various roles, currently serving as a Machine Learning Research Scientist at Norsk Regnesentral where he contributes to cutting-edge research in the field. Previously, he worked as a Machine Learning Engineer at Modulai and gained valuable experience as a Summer Research Intern at SINTEF Digital.

His passion for exploring different domains is evident through his diverse professional background, which includes a Master Thesis Project at Peltarion and a Summer Internship at Savantic AB.

Amund Vedal's unique blend of skills in machine learning, music composition, and media technology sets him apart as a valuable asset in the technology and research sectors.

Amund Vedal
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Location

Oslo, Oslo, Norway